Understanding the smart city Domain: A Literature Review


Paper by Leonidas G. Anthopoulos: “Smart Cities appeared in literature in late ‘90s and various approaches have been developed so far. Until today, smart city does not describe a city with particular attributes but it is used to describe different cases in urban spaces: web portals that virtualize cities or city guides; knowledge bases that address local needs; agglomerations with Information and Communication Technology (ICT) infrastructure that attract business relocation; metropolitan-wide ICT infrastructures that deliver e-services to the citizens; ubiquitous environments; and recently ICT infrastructure for ecological use. Researchers, practicians, businessmen and policy makers consider smart city from different perspectives and most of them agree on a model that measures urban economy, mobility, environment, living, people and governance. On the other hand, ICT and construction industries stress to capitalize smart city and a new market seems to be generated in this domain. This chapter aims to perform a literature review, discover and classify the particular schools of thought, universities and research centres as well as companies that deal with smart city domain and discover alternative approaches, models, architecture and frameworks with this regard….(More)

The Data Revolution


Review of Rob Kitchin’s The Data Revolution: Big Data, Open Data, Data Infrastructures & their Consequences by David Moats in Theory, Culture and Society: “…As an industry, academia is not immune to cycles of hype and fashion. Terms like ‘postmodernism’, ‘globalisation’, and ‘new media’ have each had their turn filling the top line of funding proposals. Although they are each grounded in tangible shifts, these terms become stretched and fudged to the point of becoming almost meaningless. Yet, they elicit strong, polarised reactions. For at least the past few years, ‘big data’ seems to be the buzzword, which elicits funding, as well as the ire of many in the social sciences and humanities.

Rob Kitchin’s book The Data Revolution is one of the first systematic attempts to strip back the hype surrounding our current data deluge and take stock of what is really going on. This is crucial because this hype is underpinned by very real societal change, threats to personal privacy and shifts in store for research methods. The book acts as a helpful wayfinding device in an unfamiliar terrain, which is still being reshaped, and is admirably written in a language relevant to social scientists, comprehensible to policy makers and accessible even to the less tech savvy among us.

The Data Revolution seems to present itself as the definitive account of this phenomena but in filling this role ends up adopting a somewhat diplomatic posture. Kitchin takes all the correct and reasonable stances on the matter and advocates all the right courses of action but he is not able to, in the context of this book, pursue these propositions fully. This review will attempt to tease out some of these latent potentials and how they might be pushed in future work, in particular the implications of the ‘performative’ character of both big data narratives and data infrastructures for social science research.

Kitchin’s book starts with the observation that ‘data’ is a misnomer – etymologically data should refer to phenomena in the world which can be abstracted, measured etc. as opposed to the representations and measurements themselves, which should by all rights be called ‘capta’. This is ironic because the worst offenders in what Kitchin calls “data boosterism” seem to conflate data with ‘reality’, unmooring data from its conditions of production and making relationship between the two given or natural.

As Kitchin notes, following Bowker (2005), ‘raw data’ is an oxymoron: data are not so much mined as produced and are necessarily framed technically, ethically, temporally, spatially and philosophically. This is the central thesis of the book, that data and data infrastructures are not neutral and technical but also social and political phenomena. For those at the critical end of research with data, this is a starting assumption, but one which not enough practitioners heed. Most of the book is thus an attempt to flesh out these rapidly expanding data infrastructures and their politics….

Kitchin is at his best when revealing the gap between the narratives and the reality of data analysis such as the fallacy of empiricism – the assertion that, given the granularity and completeness of big data sets and the availability of machine learning algorithms which identify patterns within data (with or without the supervision of human coders), data can “speak for themselves”. Kitchin reminds us that no data set is complete and even these out-of-the-box algorithms are underpinned by theories and assumptions in their creation, and require context specific knowledge to unpack their findings. Kitchin also rightly raises concerns about the limits of big data, that access and interoperability of data is not given and that these gaps and silences are also patterned (Twitter is biased as a sample towards middle class, white, tech savy people). Yet, this language of veracity and reliability seems to suggest that big data is being conceptualised in relation to traditional surveys, or that our population is still the nation state, when big data could helpfully force us to reimagine our analytic objects and truth conditions and more pressingly, our ethics (Rieder, 2013).

However, performativity may again complicate things. As Kitchin observes, supermarket loyalty cards do not just create data about shopping, they encourage particular sorts of shopping; when research subjects change their behaviour to cater to the metrics and surveillance apparatuses built into platforms like Facebook (Bucher, 2012), then these are no longer just data points representing the social, but partially constitutive of new forms of sociality (this is also true of other types of data as discussed by Savage (2010), but in perhaps less obvious ways). This might have implications for how we interpret data, the distribution between quantitative and qualitative approaches (Latour et al., 2012) or even more radical experiments (Wilkie et al., 2014). Kitchin is relatively cautious about proposing these sorts of possibilities, which is not the remit of the book, though it clearly leaves the door open…(More)”

Secrecy and Publicity in Votes and Debates


Book edited by Jon Elster: “In the spirit of Jeremy Bentham’s Political Tactics, this volume offers the first comprehensive discussion of the effects of secrecy and publicity on debates and votes in committees and assemblies. The contributors – sociologists, political scientists, historians, and legal scholars – consider the micro-technology of voting (the devil is in the detail), the historical relations between the secret ballot and universal suffrage, the use and abolition of secret voting in parliamentary decisions, and the sometimes perverse effects of the drive for greater openness and transparency in public affairs. The authors also discuss the normative questions of secret versus public voting in national elections and of optimal mixes of secrecy and publicity, as well as the opportunities for strategic behavior created by different voting systems. Together with two previous volumes on Collective Wisdom (Cambrige, 2012) and Majority Decisions (Cambridge, 2014), the book sets a new standard for interdisciplinary work on collective decision-making….(More)”

Forging Trust Communities: How Technology Changes Politics


Book by Irene S. Wu: “Bloggers in India used social media and wikis to broadcast news and bring humanitarian aid to tsunami victims in South Asia. Terrorist groups like ISIS pour out messages and recruit new members on websites. The Internet is the new public square, bringing to politics a platform on which to create community at both the grassroots and bureaucratic level. Drawing on historical and contemporary case studies from more than ten countries, Irene S. Wu’s Forging Trust Communities argues that the Internet, and the technologies that predate it, catalyze political change by creating new opportunities for cooperation. The Internet does not simply enable faster and easier communication, but makes it possible for people around the world to interact closely, reciprocate favors, and build trust. The information and ideas exchanged by members of these cooperative communities become key sources of political power akin to military might and economic strength.

Wu illustrates the rich world history of citizens and leaders exercising political power through communications technology. People in nineteenth-century China, for example, used the telegraph and newspapers to mobilize against the emperor. In 1970, Taiwanese cable television gave voice to a political opposition demanding democracy. Both Qatar (in the 1990s) and Great Britain (in the 1930s) relied on public broadcasters to enhance their influence abroad. Additional case studies from Brazil, Egypt, the United States, Russia, India, the Philippines, and Tunisia reveal how various technologies function to create new political energy, enabling activists to challenge institutions while allowing governments to increase their power at home and abroad.

Forging Trust Communities demonstrates that the way people receive and share information through network communities reveals as much about their political identity as their socioeconomic class, ethnicity, or religion. Scholars and students in political science, public administration, international studies, sociology, and the history of science and technology will find this to be an insightful and indispensable work…(More)”

Advancing Collaboration Theory: Models, Typologies, and Evidence


New book edited by John C. Morris, Katrina Miller-Stevens: “The term collaboration is widely used but not clearly understood or operationalized. However, collaboration is playing an increasingly important role between and across public, nonprofit, and for-profit sectors. Collaboration has become a hallmark in both intragovernmental and intergovernmental relationships. As collaboration scholarship rapidly emerges, it diverges into several directions, resulting in confusion about what collaboration is and what it can be used to accomplish. This book provides much needed insight into existing ideas and theories of collaboration, advancing a revised theoretical model and accompanying typologies that further our understanding of collaborative processes within the public sector.

Organized into three parts, each chapter presents a different theoretical approach to public problems, valuing the collective insights that result from honoring many individual perspectives. Case studies in collaboration, split across three levels of government, offer additional perspectives on unanswered questions in the literature. Contributions are made by authors from a variety of backgrounds, including an attorney, a career educator, a federal executive, a human resource administrator, a police officer, a self-employed entrepreneur, as well as scholars of public administration and public policy. Drawing upon the individual experiences offered by these perspectives, the book emphasizes the commonalities of collaboration. It is from this common ground, the shared experiences forged among seemingly disparate interactions that advances in collaboration theory arise.

Advancing Collaboration Theory offers a unique compilation of collaborative models and typologies that enhance the existing understanding of public sector collaboration….(More)”

The Civic Organization and the Digital Citizen


New book by Chris Wells: “The powerful potential of digital media to engage citizens in political actions has now crossed our news screens many times. But scholarly focus has tended to be on “networked,” anti-institutional forms of collective action, to the neglect of advocacy and service organizations. This book investigates the changing fortunes of the citizen-civil society relationship by exploring how social changes and innovations in communication technology are transforming the information expectations and preferences of many citizens, especially young citizens. In doing so, it is the first work to bring together theories of civic identity change with research on civic organizations. Specifically, it argues that a shift in “information styles” may help to explain the disjuncture felt by many young people when it comes to institutional participation and politics.

The book theorizes two paradigms of information style: a dutiful style, which was rooted in the society, communication system and citizen norms of the modern era, and an actualizing style, which constitutes the set of information practices and expectations of the young citizens of late modernity for whom interactive digital media are the norm. Hypothesizing that civil society institutions have difficulty adapting to the norms and practices of the actualizing information style, two empirical studies apply the dutiful/actualizing framework to innovative content analyses of organizations’ online communications-on their websites, and through Facebook. Results demonstrate that with intriguing exceptions, most major civil society organizations use digital media more in line with dutiful information norms than actualizing ones: they tend to broadcast strategic messages to an audience of receivers, rather than encouraging participation or exchange among an active set of participants. The book concludes with a discussion of the tensions inherent in bureaucratic organizations trying to adapt to an actualizing information style, and recommendations for how they may more successfully do so….(More)”

Citizen-Driven Innovation : A Guidebook for City Mayors and Public Administrators


Guidebook by Eskelinen, Jarmo; Garcia Robles, Ana; Lindy, Ilari; Marsh, Jesse; Muente-Kunigami, Arturo:  “… aims to bring citizen-driven innovation to policy makers and change agents around the globe, by spreading good practice on open and participatory approaches as applied to digital service development in different nations, climates, cultures, and urban settings. The report explores the concept of smart cities through a lens that promotes citizens as the driving force of urban innovation. Different models of smart cities are presented, showing how citizen-centric methods have been used to mobilize resources to respond to urban innovation challenges in a variety of situations, objectives, and governance structures. The living lab approach strengthens these processes as one of the leading methods for agile development or the rapid prototyping of ideas, concepts, products, services, and processes in a highly decentralized and user-centric manner. By adopting these approaches and promoting citizen-driven innovation, cities around the world are aiming to alleviate the demand for services, increase the quality of delivery, and promote local entrepreneurship. This guidebook is structured into seven main sections: an introductory section describes the vision of a humanly smart city, in order to give an idea of the kind of result that can be attained from opening up and applying citizen-driven innovation methods. Chapter one getting started helps mayors launch co-design initiatives, exploring innovation processes founded on trust and verifying the benefits of opening up. Chapter two, building a strategy identifies the key steps for building an innovation partnership and together defining a sustainable city vision and scenarios for getting there. Chapter three, co-designing solutions looks at the process of unpacking concrete problems, working creatively to address them, and following up on implementation. Chapter four, ensuring sustainability describes key elements for long-term viability: evaluation and impact assessment, appropriate institutional structuring, and funding and policy support. Chapter five, joining forces suggests ways to identify a unique role for participation in international networks and how to best learn from cooperation. Finally, the report provides a starter pack with some of the more commonly used tools and methods to support the kinds of activities described in this guidebook….(More)”

Policy Practice and Digital Science


New book edited by Janssen, Marijn, Wimmer, Maria A., and Deljoo, Ameneh: “The explosive growth in data, computational power, and social media creates new opportunities for innovating the processes and solutions of Information and communications technology (ICT) based policy-making and research. To take advantage of these developments in the digital world, new approaches, concepts, instruments and methods are needed to navigate the societal and computational complexity. This requires extensive interdisciplinary knowledge of public administration, policy analyses, information systems, complex systems and computer science. This book provides the foundation for this new interdisciplinary field, in which various traditional disciplines are blending. Both policy makers, executors and those in charge of policy implementations acknowledge that ICT is becoming more important and is changing the policy-making process, resulting in a next generation policy-making based on ICT support. Web 2.0 and even Web 3.0 point to the specific applications of social networks, semantically enriched and linked data, whereas policy-making has also to do with the use of the vast amount of data, predictions and forecasts, and improving the outcomes of policy-making, which is confronted with an increasing complexity and uncertainty of the outcomes. The field of policy-making is changing and driven by developments like open data, computational methods for processing data, opining mining, simulation and visualization of rich data sets, all combined with public engagement, social media and participatory tools….(More)”

Social Dimensions of Privacy


New book edited by Dorota Mokrosinska and Beate Roessler: “Written by a select international group of leading privacy scholars, Social Dimensions of Privacy endorses and develops an innovative approach to privacy. By debating topical privacy cases in their specific research areas, the contributors explore the new privacy-sensitive areas: legal scholars and political theorists discuss the European and American approaches to privacy regulation; sociologists explore new forms of surveillance and privacy on social network sites; and philosophers revisit feminist critiques of privacy, discuss markets in personal data, issues of privacy in health care and democratic politics. The broad interdisciplinary character of the volume will be of interest to readers from a variety of scientific disciplines who are concerned with privacy and data protection issues.

  • Takes an innovative approach to privacy which focuses on the social dimensions and value of privacy in contrast to the value of privacy for individuals
  • Addresses readers from a variety of disciplines, including law, philosophy, media studies, gender studies and political science
  • Addresses new privacy-sensitive areas triggered by recent technological developments (More)”

Signal: Understanding What Matters in a World of Noise,


Book by Stephen Few: “In this age of so-called Big Data, organizations are scrambling to implement new software and hardware to increase the amount of data they collect and store. However, in doing so they are unwittingly making it harder to find the needles of useful information in the rapidly growing mounds of hay. If you don’t know how to differentiate signals from noise, adding more noise only makes things worse. When we rely on data for making decisions, how do we tell what qualifies as a signal and what is merely noise? In and of itself, data is neither. Assuming that data is accurate, it is merely a collection of facts. When a fact is true and useful, only then is it a signal. When it’s not, it’s noise. It’s that simple. In Signal, Stephen Few provides the straightforward, practical instruction in everyday signal detection that has been lacking until now. Using data visualization methods, he teaches how to apply statistics to gain a comprehensive understanding of one’s data and adapts the techniques of Statistical Process Control in new ways to detect not just changes in the metrics but also changes in the patterns that characterize data…(More)”